This paper introduces a new methodology, GLEAM (Global Land surface Evaporation: the Amsterdam Methodology), to estimate global land-surface evaporation using satellite observations. The approach leverages the Priestley and Taylor (PT) evaporation model, which requires a minimal number of inputs, most of which can be detected from space. Key features include the use of microwave-derived soil moisture, land surface temperature, and vegetation density, as well as detailed estimation of rainfall interception loss. The model is validated against eddy covariance measurements from 43 stations, showing good performance with an average correlation coefficient of \( R = 0.83 \) for daily time series and \( R = 0.90 \) for monthly time series. The first global map of annual evaporation developed using this methodology is presented, providing a valuable resource for studying the global hydrological cycle.This paper introduces a new methodology, GLEAM (Global Land surface Evaporation: the Amsterdam Methodology), to estimate global land-surface evaporation using satellite observations. The approach leverages the Priestley and Taylor (PT) evaporation model, which requires a minimal number of inputs, most of which can be detected from space. Key features include the use of microwave-derived soil moisture, land surface temperature, and vegetation density, as well as detailed estimation of rainfall interception loss. The model is validated against eddy covariance measurements from 43 stations, showing good performance with an average correlation coefficient of \( R = 0.83 \) for daily time series and \( R = 0.90 \) for monthly time series. The first global map of annual evaporation developed using this methodology is presented, providing a valuable resource for studying the global hydrological cycle.